• Class Number 6438
  • Term Code 3260
  • Class Info
  • Unit Value 6 units
  • Mode of Delivery In Person
    • Chung Tran
    • Chung Tran
  • Class Dates
  • Class Start Date 25/07/2022
  • Class End Date 28/10/2022
  • Census Date 31/08/2022
  • Last Date to Enrol 01/08/2022
SELT Survey Results

This course introduces contemporary theory for examining central questions in macroeconomics: growth, unemployment, inflation, and business cycles.

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

  1. Be familiar with the main macroeconomic models used to study economic growth and the business cycle
  2. Be able to formulate in general equilibrium simple intertemporal models of household and firm behaviour
  3. Understand the key shocks and propagation mechanisms present in business cycle models
  4. Be able to solve and employ simple stochastic business cycle models to address questions about the macro-economy

Research-Led Teaching

This course will expose students to the frontier research and cutting-edge modelling tools in contemporary macroeconomics. Students will examine variety of models and policy applications in academic research and policy making.

Examination Material or equipment

The exams and tests will be in online mode. Students are required to have

+ access to internet

+ camera (e.g., the camera facility on your mobile phone) to take a picture of your handwritten answers of your workbooks, including your student ID.

  • Custom Notes and Slides: Linked from WATTLE

  • Recursive Macroeconomic Theory, 4th Edition, 2018 (MIT Press): Main textbook

by Lars Ljungqvist and Thomas J. Sargent (“LS”)

ISBN-13: 978-0262038669


  • Economic Dynamics in Discrete Time, 2014 (MIT Press)

by Jianjun Miao (“Mi”)

ISBN: 978-0262027618


All books are are available from the ANU Library’s 2-Hour Reserve listing.

Scientific Computation:

The modern economics student is expected to possess not just analytical skills but increasingly computational skills, both in academia and in the wider marketplace for economists. You are not expected to have any prior training in such skills, but you are expected to have a flexible and open mind towards learning it as we go.

Staff Feedback

This is a course available by remote access, but there will be significant opportunities for synchronous interaction with teaching staff even if lectures and tutorials are recorded and accessed asynchronously.

In-class Activities

  • To maximize your experience and feedback on your progress, please attempt all the tutorial problem sets before attending tutorials.
  • Most of the learning is reinforced through solving problems on your own and being able to discuss it with the class afterwards.
  • An incentive that encourages you to excel in this dimension is provided in the TP and RA assessment items.

Lecturer and Teaching Assistants' Office Hours

  • For maximal value, you should have read the relevant materials (textbook, lecture slides) and attempted problems, before turning up to office hours with questions.
  • If you have any difficulties, please do not hesitate to come and see us; and do not wait until the end of semester to do so.
  • We are here to assist your learning and also to ensure that your university experience continues to be a fun and rewarding one!
  • Note: This course does not encourage last minute rote learning. There will be no additional (i.e., pre-examination) office hours provided beyond Week 12 of the instruction period. You are encourage to seek help early on during the semester.

Tests of Progression and Assignments

  • Answers to these activities and general discussions relating to how you understood the material tested will be provided in class.
  • Your work will be returned to you with comments.


  • Feel free to post short questions related to the course material on WATTLE Forum. The usual internet etiquette applies. The teaching team may answer your questions occasionally. However, please reserve long queries to physical office hours, as we can best help you there.

Student Feedback

ANU is committed to the demonstration of educational excellence and regularly seeks feedback from students. Students are encouraged to offer feedback directly to their Course Convener or through their College and Course representatives (if applicable). The feedback given in these surveys is anonymous and provides the Colleges, University Education Committee and Academic Board with opportunities to recognise excellent teaching, and opportunities for improvement. The Surveys and Evaluation website provides more information on student surveys at ANU and reports on the feedback provided on ANU courses.

Class Schedule

Week/Session Summary of Activities Assessment
1 Introduction and Review + Measurements + Key macro facts + Policy issues + Review of Solow-Swan model
2 Overlapping Generations (OLG) Model
3 Neoclassical Growth (NG) Model
4 Fiscal Policy in OLG and NG Models Submission 1: + Remote access + Questions are available in Week 4 + Topics from Weeks 1-4 + Due on Friday at 5 pm of Week 5 + Check Wattle for more information
5 Representative Agent (RA) Model
6 Complete Markets Models: Extensions Mid semester exam (120-180 minutes): + Remote access + Week 6 + Topics from Weeks 1-6 + Check Wattle for more information in Week 4
7 Models with Money and Monetary Policy
8 Business Cycles and Stabilisation Policies
9 Representative New Keynesian (RANK) Model and Monetary Policy
10 Large Scale OLG Model with Fiscal Policy Submission 2: + Remote assess + Questions are available by the end of Week 9 + Topics from Weeks 5-10 + Due on Friday at 5 pm of Week 11 + Check Wattle for more information.
11 Heterogeneous Agent (HA) Model and Heterogeneous Agent New Keynesian (HANK) Model
12 Topics in Macroeconomics Final exam (180 minutes): + Remote access + Topics from Weeks 1-12 + Check Wattle for more information in Week 10

Tutorial Registration

+ Tutorials (1 hour per week) will be delivered in person with online option from Week 2.

+ This will be a small class of around 20 students. There will one tutorial session per week after lectures.

+ There is no requirement for tutorial registration. Further details will be available on Wattle in O-week.

Assessment Summary

Assessment task Value Due Date Return of assessment Learning Outcomes
Test of Progress/Feedback through Wattle 10 % 15/08/2022 19/08/2022 1,2,3,4
Mid-semester exam through Wattle (120 -180 minutes) 30 % 31/08/2022 04/09/2022 1,2,3,4
Final Examination (180 minutes) 50 % 01/11/2022 30/11/2022 1,2,3,4
Test of Progress/feedback through Wattle 10 % 11/10/2022 30/10/2022 1,2,3,4

* If the Due Date and Return of Assessment date are blank, see the Assessment Tab for specific Assessment Task details


ANU has educational policies, procedures and guidelines, which are designed to ensure that staff and students are aware of the University’s academic standards, and implement them. Students are expected to have read the Academic Misconduct Rule before the commencement of their course. Other key policies and guidelines include:

Assessment Requirements

The ANU is using Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. For additional information regarding Turnitin please visit the Academic Integrity . In rare cases where online submission using Turnitin software is not technically possible; or where not using Turnitin software has been justified by the Course Convener and approved by the Associate Dean (Education) on the basis of the teaching model being employed; students shall submit assessment online via ‘Wattle’ outside of Turnitin, or failing that in hard copy, or through a combination of submission methods as approved by the Associate Dean (Education). The submission method is detailed below.

Moderation of Assessment

Marks that are allocated during Semester are to be considered provisional until formalised by the College examiners meeting at the end of each Semester. If appropriate, some moderation of marks might be applied prior to final results being released.


+ The lectures and tutorials will be taught in person with online options for students who have approval for off-campus study.

+ Students are expected to attend all live lectures and tutorials.

Notes: I strongly encourage students to attend weekly live lectures. The Echo360 recording system is installed in the lecture room. However, there might be some technical issues. It will take time to re-record the lectures.



See assessment tasks 1 to 4 above.

Assessment Task 1

Value: 10 %
Due Date: 15/08/2022
Return of Assessment: 19/08/2022
Learning Outcomes: 1,2,3,4

Test of Progress/Feedback through Wattle

Students will be given the first homework assignment in week 4. This assignment consists of 3-4 questions.

Students are required to submit their report, workout in pdf files and programming code (Matlab or Fortran) through wattle site or email. More information will be provided in the course outline as well as in lectures in week 3.  

+ Online platform

+ Submission: pdf files and codes via Wattle and email

Value: 10%

Assessment Task 2

Value: 30 %
Due Date: 31/08/2022
Return of Assessment: 04/09/2022
Learning Outcomes: 1,2,3,4

Mid-semester exam through Wattle (120 -180 minutes)

The mid semester exam will cover topics from Weeks 1 to 6. It will be undertaken remotely in week 6. There will be 3-4 questions. More information will be provided in lectures and Wattle in week 4 (two weeks prior to the exam). 

+ Online platform via Zoom with camera on

+ Submission: pdf files and codes via Wattle and email

Value: 30%

Assessment Task 3

Value: 50 %
Due Date: 01/11/2022
Return of Assessment: 30/11/2022
Learning Outcomes: 1,2,3,4

Final Examination (180 minutes)

The final exam will be held remotely during the University exam period for at least three hours. The final exam will cover all material from weeks 1-12.

More information on exam topics and exam format will be provided in lectures and Wattle site in weeks 10. 

+ On-line platform via Zoom with camera on

+ Submission: Summary reports are required to submit via Wattle site. All tex, graphic, data files and codes (source files) are required to submit via class email

Value: 50%

Assessment Task 4

Value: 10 %
Due Date: 11/10/2022
Return of Assessment: 30/10/2022
Learning Outcomes: 1,2,3,4

Test of Progress/feedback through Wattle

Students will be given the second homework assignment in week 10. This assignment consists of 4 questions. Students are required to submit their report, workout and code (online). More information will be provided in lectures and wattle in week 9. 

+ Online platform

+ Submission: pdf files and codes via Wattle and email

Value: 10%

Academic Integrity

Academic integrity is a core part of the ANU culture as a community of scholars. At its heart, academic integrity is about behaving ethically, committing to honest and responsible scholarly practice and upholding these values with respect and fairness.

The ANU commits to assisting all members of our community to understand how to engage in academic work in ways that are consistent with, and actively support academic integrity. The ANU expects staff and students to be familiar with the academic integrity principle and Academic Misconduct Rule, uphold high standards of academic integrity and act ethically and honestly, to ensure the quality and value of the qualification that you will graduate with.

The Academic Misconduct Rule is in place to promote academic integrity and manage academic misconduct. Very minor breaches of the academic integrity principle may result in a reduction of marks of up to 10% of the total marks available for the assessment. The ANU offers a number of online and in person services to assist students with their assignments, examinations, and other learning activities. Visit the Academic Skills website for more information about academic integrity, your responsibilities and for assistance with your assignments, writing skills and study.

Online Submission

You will be required to electronically sign a declaration as part of the submission of your assignment. Please keep a copy of the assignment for your records. You do not need to submit via Turnitin.

Regular Assignments (RA) must to be submitted via WATTLE as Jupyter Notebooks with replicable content (unless stated otherwise on RA problem sheet).

Hardcopy Submission

For some forms of assessment (hand written assignments, art works, laboratory notes, etc.) hard copy submission is appropriate when approved by the Associate Dean (Education). Hard copy submissions must utilise the Assignment Cover Sheet. Please keep a copy of tasks completed for your records.

Late Submission

+ Late submission of assessments will not be graded. If an assessment task is not submitted by the due date, a mark of 0 will be automatically awarded.

+ Wrong submission of assessments will not be graded.

Referencing Requirements

Accepted academic practice for referencing sources that you use in presentations can be found via the links on the Wattle site, under the file named “ANU and College Policies, Program Information, Student Support Services and Assessment”. Alternatively, you can seek help through the Students Learning Development website.

Returning Assignments

Remote access

Extensions and Penalties

Extensions and late submission of assessment pieces are covered by the Student Assessment (Coursework) Policy and Procedure. Extensions may be granted for assessment pieces that are not examinations or take-home examinations. If you need an extension, you must request an extension in writing on or before the due date. If you have documented and appropriate medical evidence that demonstrates you were not able to request an extension on or before the due date, you may be able to request it after the due date.

Resubmission of Assignments

Remote access

Privacy Notice

The ANU has made a number of third party, online, databases available for students to use. Use of each online database is conditional on student end users first agreeing to the database licensor’s terms of service and/or privacy policy. Students should read these carefully. In some cases student end users will be required to register an account with the database licensor and submit personal information, including their: first name; last name; ANU email address; and other information.
In cases where student end users are asked to submit ‘content’ to a database, such as an assignment or short answers, the database licensor may only use the student’s ‘content’ in accordance with the terms of service – including any (copyright) licence the student grants to the database licensor. Any personal information or content a student submits may be stored by the licensor, potentially offshore, and will be used to process the database service in accordance with the licensors terms of service and/or privacy policy.
If any student chooses not to agree to the database licensor’s terms of service or privacy policy, the student will not be able to access and use the database. In these circumstances students should contact their lecturer to enquire about alternative arrangements that are available.

Distribution of grades policy

Academic Quality Assurance Committee monitors the performance of students, including attrition, further study and employment rates and grade distribution, and College reports on quality assurance processes for assessment activities, including alignment with national and international disciplinary and interdisciplinary standards, as well as qualification type learning outcomes.

Since first semester 1994, ANU uses a grading scale for all courses. This grading scale is used by all academic areas of the University.

Support for students

The University offers students support through several different services. You may contact the services listed below directly or seek advice from your Course Convener, Student Administrators, or your College and Course representatives (if applicable).

Chung Tran

Research Interests

Macroeconomics, Public Finance and Development Economics

Chung Tran

Tuesday 12:00 13:00
Tuesday 12:00 13:00
Chung Tran
5 5638
Chung.Tran @anu.edu.au

Research Interests

Chung Tran

Tuesday 12:00 13:00
Tuesday 12:00 13:00

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